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Leakage Current of PLD- and CSD-BiFeO3 Thin Films Observed by Current Sensitive AFM

MRS Online Proceedings Library (OPL) 2011年第1期1199卷 1199-F06-21-1199-F06-21页

作者： Seiji Nakashima Hironori Fujisawa Jung Min Park Takeshi Kanashima Masanori Okuyama Masaru Shimizu nakashima@eng.u-hyogo.ac.jp University of Hyogo Dept. of Electrical Engineering and Computer Sciences Himeji Japan fujisawa@eng.u-hyogo.ac.jp University of Hyogo Dept. of Electrical Engineering and Computer Sciences Himeji Japan kanashima@ee.es.osaka-u.ac.jp Osaka University Dept. of Systems Innovation Toyonaka Japan okuyama@ee.es.osaka-u.ac.jp Osaka University Dept. of Systems Innovation Toyonaka Japan mshimizu@eng.u-hyogo.ac.jp University of Hyogo Dept. of Electrical Engineering and Computer Sciences Himeji Japan

We have investigated relationships between leakage current and microstructure or domain structure of BiFeO3 (BFO) thin films, and leakage current mappings of BFO thin films have been performed by current sensitive AFM. 350-nm-thick and 250-nm-thick BFO thin films were prepared on Pt/TiO2/SiO2/Si substrate by pulsed laser deposition (PLD) and chemical solution deposition (CSD), respectively. Average grain size of PLD-BFO thin film is about 480 nm, which is the same as the film thickness. From the leakage current mapping at a bias voltage of -16 Vdc, leakage current of the BFO thin film flows through not only grain boundary but also the grain itself. On the other hand, CSD-BFO thin film shows rosette structure and small size grains. From the leakage current mapping at a bias voltage of -10 Vdc, leakage current flows along boundaries of the rosette structures. These results indicate that leakage current of BFO strongly depends on its microstructure.

关键词： ferroelectricity scanning probe microscopy (SPM) electrical properties

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Exothermic heat estimation using fuzzy neural nets for a batch reactor temperature control system

Exothermic heat estimation using fuzzy neural nets for a bat...

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IEE Colloquium on Advances in Neural Networks for control and systems

作者： E.S. Cubliar J.L. Coronado C.G. Moreno J. Manuel C. Izquierdo Dept. de Ingenieria de Sistemas y Autom. Valladolid Univ. Spain Department of Systems Engineering and Control School of Industrial Engineering University of Valladolid Valladolid Spain

Batch processes may constantly be changing, sometimes in unpredictable ways. For this reason, the operators need to keep a close watch on things. Batch-plant control stations have traditionally been located very close to the process, because operators can do a better job of sensing abnormalities if they can see, hear and smell what is going on. The reaction process can be considered as unstable, the instability being understood as the characteristic making the self abandoned system evolve towards unpermitted temperature values with the associated danger of accidents. The temperature also plays a decisive role in the final product quality, each time the reactor changes from the desired temperature the quality diminishes, the appearance of undesired species increases, and the overall performance of the reaction decreases which directly affects the economic performance.< >

关键词： Chemical industry Fuzzy neural networks Stability Temperature control

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Recent trends in computational intelligence in life sciences 19

Recent trends in computational intelligence in life sciences

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19th European Symposium on Artificial Neural Networks, ESANN 2011

作者： Seiffert, Udo Schleif, Frank-Michael Zühlke, Dietlind Fraunhofer IFF Magdeburg Dept. Biosystems Engineering Sandtorstrasse 22 Magdeburg39106 Germany University of Magdeburg Institute of Electronics Signal Processing and Communications P.O. Box 4120 Magdeburg39016 Germany University of Bielefeld AG Theoretical Computer Science Universitätsstrasse 21-23 Bielefeld33615 Germany RWTH Aachen University Dept. Information Systems Ahornstrasse 55 Aachen52056 Germany Fraunhofer FIT Sankt Augustin Dept. Life Science Informatics Schloss Birlinghoven Sankt Augustin53754 Germany

ISBN: (纸本)9782874190445

Computational intelligence generally comprises a rather large set of – in a wider sense – adaptive and human-like data analysis and modelling methods. Due to some superior features – such as generalisation, trainability, coping with incomplete and inconsistent data, etc. – computational intelligence has found its way into numerous applications in almost all scientific disciplines. A very prominent field among them are life sciences that are characterised by some unique requirements in terms of data structure and analysis. © European Symposium on Artificial Neural Networks. All rights reserved.

关键词： Neural networks

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A hybrid of cooperative particle swarm optimization and cultural algorithm for neural fuzzy networks

A hybrid of cooperative particle swarm optimization and cult...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Cheng-Hung Chen Yong-Cheng Liu Cheng-Jian Lin Chin-Teng Lin Dept. of Electrical and Control Engineering National Chiao-Tung University Hsinchu Taiwan R.O.C. Dept. of Computer Science and Information Engineering Chaoyang University of Technology Taiwan R.O.C. Department of electrical and control engineering National Chiao Tung University HsinChu Taiwan Dept. of Electrical Engineering National University of Kaohsiung Kaohsiung Taiwan R.O.C.

This study presents an evolutionary neural fuzzy network, designed using the functional-link-based neural fuzzy network (FLNFN) and a new evolutionary learning algorithm. This new evolutionary learning algorithm is based on a hybrid of cooperative particle swarm optimization and cultural algorithm. It is thus called cultural cooperative particle swarm optimization (CCPSO). The proposed CCPSO method, which uses cooperative behavior among multiple swarms, can increase the global search capacity using the belief space. Cooperative behavior involves a collection of multiple swarms that interact by exchanging information to solve a problem. The belief space is the information repository in which the individuals can store their experiences such that other individuals can learn from them indirectly. The proposed FLNFN model uses functional link neural networks as the consequent part of the fuzzy rules. Finally, the proposed functional-link-based neural fuzzy network with cultural cooperative particle swarm optimization (FLNFN-CCPSO) is adopted in several predictive applications. Experimental results have demonstrated that the proposed CCPSO method performs well in predicting the time series problems.

关键词： Fuzzy systems Conferences

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Towards Optimal Search: An Efficient Search Algorithm for Arabic Text using Secant Method

Towards Optimal Search: An Efficient Search Algorithm for Ar...

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Applied Mathematics and engineering (BICAME), Borneo International Conference on

作者： Muhammad Nomani Kabir Yasser Alginahi Jahan Ali Hocine Benseghir Faculty of Computer Systems & Software Engineering University Malaysia Pahang Malaysia Gambang Kuantan Malaysia Dept. of Electrical and Computer Engineering University of Windsor Windsor Ontario Canada Faculty of Engineering Technology University Malaysia Pahang Kuantan Malaysia

ISBN: (数字)9781538677254

ISBN: (纸本)9781538677261

Search techniques are an integral part for text authentication and plagiarism checks. In this work, our aim is to develop an efficient search algorithm for Arabic text (words and sentences) in a large database. The database contains the authentic source of information where information is ordered; thus the efficient algorithm can be used for searching the text in the database. The proposed search algorithm uses a quasi-Newton method - Secant method instead of the traditional binary search. The results show that the secant method has much faster convergence property than the binary search and hence the algorithm can find the search text in a shorter time period.

关键词： Interpolation Indexes Heuristic algorithms Search problems Approximation algorithms

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Adaptation techniques for ubiquitous Internet multimedia

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Wireless Communications and Mobile Computing 2001年第2期1卷 141-163页

作者： Margaritidis, Margaritis Polyzos, George C. Center for Wireless Communications Dept. of Comp. Sci. and Engineering University of California San Diego San Diego CA 92093-0114 United States Department of Informatics Athens Univ. of Econ. and Business Athens 10434 Greece Dept. of Comp. Sci. and Engineering University of California San Diego San Diego CA 92093-0114 United States University of California San Diego CA United States University of Patras Patras Greece Department of Computer Science Athens Univ. of Econ. and Business University of California San Diego CA United States Computer Systems Laboratory Steering Comm. UCSD Ctr. Wireless C. National Technical University Athens Greece University of Toronto Canada

We identify the importance of adaptation for the ubiquitous access to Internet multimedia content. The variety of media types combined with the diversity of Internet connection characteristics raises momentous challenges to the achievement of this goal. With adaptation, the characteristics of various media can be adjusted to better match those of the network path and the end device. As a result, adaptive streams enjoy superior robustness and provide substantially better presentation quality than traditional, non-adaptive ones, especially in variable, capacity-limited environments. We examine several important factors that influence the design and optimization of the adaptation architecture. First, the location of the adaptation mechanism on the end-to-end path must be chosen. Second, the adaptation policy, i.e., the agility in adapting to variations in network path performance, must be specified. Third, the adaptation mechanism needs to be aware of the value of the perceptual quality that the different representations of each medium and the necessary resources to sustain it. Finally, we emphasize the role of supporting mechanisms in enhancing the adaptation process, namely, prioritization, admission control and hand-off notifications. Based on the aforementioned criteria, we classify existing research approaches and present some of them as case studies. We also describe current commercial solutions and, finally, we discuss future trends in application adaptation in conjunction with recent developments towards wireless access to the Internet. Copyright © 2001 John Wiley and Sons, Ltd.

关键词： Media adaptation ubiquitous access wireless networks mobile communications Quality‐of‐Service proxy filtering handoffs utility functions

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POCS-based Image Compression: An Empirical Examination

POCS-based Image Compression: An Empirical Examination

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International Conference on Green Technology and Sustainable Development (GTSD)

作者： Truong-Dong Do Le-Anh Tran Thanh-Dat Nguyen Nghe-Nhan Truong Dong-Chul Park My-Ha Le Dept. of Aerospace Systems Engineering Sejong University Seoul South Korea Dept. of Electronics Engineering Myongji University Yongin South Korea Dept. of Research and Development OCST Co. Ltd. Seoul South Korea Dept. of Computer Science & Engineering Sejong University Seoul South Korea Dept. of Electrical & Electronics Engineering HCMC University of Technology & Education Ho Chi Minh City Vietnam

ISBN: (数字)9798350386073

ISBN: (纸本)9798350386080

This paper investigates the applicability of the Pro-jection onto Convex Set (POCS)-based clustering algorithm to image compression tasks. The POCS-based clustering approach treats all data points in a given dataset as non-intersecting convex sets and performs POCS-based parallel projections from each cluster prototype onto corresponding member data points to minimize an objective function and update cluster prototypes. The POCS-based clustering algorithm has been proven to be able to yield promising results against other prevailing clustering approaches in terms of convergence time and clustering error on general clustering tasks. In this study, a comparison of various clustering schemes for image compression applications has been conducted. The evaluations and analyses on various standard test images verify that the POCS-based clustering algorithm can perform competitively against other conventional clustering methods in image compression problems.

关键词： Image coding Clustering methods Clustering algorithms Prototypes Linear programming Sustainable development Standards

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High Speed Photonic Neuromorphic Computing Using Recurrent Optical Spectrum Slicing Neural Networks

arXiv

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arXiv 2022年

作者： Sozos, K. Bogris, A. Bienstman, P. Sarantoglou, G. Deligiannidis, S. Mesaritakis, Charis Dept. of Informatics and Computer Engineering University of West Attica Aghiou Spiridonos Egaleo 12243 Greece Dept. of Information Technology Ghent University-Imec Technologiepark Zwijnaarde 126 Gent9052 Belgium Dept. Information and Communication Systems Engineering Engineering School University of the Aegean Palama 2 Samos83200 Greece

Neuromorphic Computing implemented in photonic hardware is one of the most promising routes towards achieving machine learning processing at the picosecond scale, with minimum power consumption. In this work, we present a new concept for realizing photonic recurrent neural networks and reservoir computing architectures with the use of recurrent optical spectrum slicing. This is accomplished through simple optical filters placed in an loop, where each filter processes a specific spectral slice of the incoming optical signal. The synaptic weights in our scheme are equivalent to filters' central frequencies and bandwidths. This new method for implementing recurrent neural processing in the photonic domain, which we call Recurrent Optical Spectrum Slicing Neural Networks (ROSS-NNs), is numerically evaluated on a demanding, industry-relevant task such as high baud rate optical signal equalization (>100 Gbaud), exhibiting ground-breaking performance. The performance enhancement surpasses state-of-the-art digital processing techniques by doubling the reach while minimizing complexity and power consumption by a factor of 10 compared to state-of-the-art solutions. In this respect, ROSS-NNs can pave the way for the implementation of ultra-efficient photonic hardware accelerators tailored for processing high-bandwidth (> 100 GHz) optical signals in optical communication and high-speed imaging applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Optical communication

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On the Feasibility of RIS-enabled Cooperative Driving

On the Feasibility of RIS-enabled Cooperative Driving

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IEEE Vehicular Networking Conference (VNC)

作者： Michele Segata Paolo Casari Marios Lestas Dimitrios Tyrovolas Taqwa Saeed George Karagiannidis Christos Liaskos Department of Information Engineering and Computer Science University of Trento Italy Dept. of Electrical Engineering Frederick University Cyprus Dept. of Electrical Engineering Aristotle University of Thessaloniki Greece School of Information Technology Halmstad University Sweden Cyber Security Systems and Applied AI Research Center Lebanese American University (LAU) Lebanon Dept. of Computer Science and Engineering University of Ioannina & FORTH Greece

Future cooperative autonomous vehicles will require high-performance communication means to support functions such as cooperative maneuvering and cooperative perception. The high-bandwidth requirements of these functions can be met through mmWave communications, whose utilization is often hindered by the harsh propagation conditions of typical vehicular environments. A solution to this problem is the use of reconfigurable intelligent surfaces (RISs), which enable the reflection of signals in a configurable direction, and have recently gained attention in the vehicular domain. In this paper, we provide an initial feasibility study, highlighting the challenges ahead and the performance RISs need to deliver in order to enable this type of communications. Specifically, we utilize CoopeRIS, a simulation framework for RISs integrated into the Plexe/Veins/SUMO ecosystem that we develop as further contribution and will release to the public.

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Aspect-orientation of control application code for distributed automation systems: The TORERO approach

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International Workshop on the Move to Meaningful Internet systems, OTM 2003 co-located with Workshop on HCI SWWA, IPW, JTRES,WORM, WMS, and WRSM 2003

作者： Tangermann, Marcus Schwab, Christian Kalogeras, Athanasios P. Lorentz, Kai Prayati, Aggeliki S. University of Magdeburg Center Distributed Systens@IAF Universitätsplatz 2 Magdeburg39106 Germany Industrial Systems Institute Building A University Campus Rion Patras26500 Greece University of Patras Dept. of Electrical Engineering and Computer Technology Rion Patras26500 Greece

ISBN: (纸本)9783540204947

Besides the programming of the control application code of a distributed automation system (DAS) and the functional allocation of the control application code to the specific devices that the DAS consists of, an important point is the implementation of communication related code to map to the underlying communication platform and to realise the collaboration of the distributed control application code. Due to the real-timeliness and even timecriticality of DAS applications, the correct handling of real-time constraints has to be considered. This paper presents an aspect-oriented approach for weaving the communication related code into the distributed control application code by means of AspectJ [AspJ03], an extension for aspect-oriented programming with Java, and gives a comparison to other approaches. In addition to the description of the weaving process and the presentation of a demonstrator example, considerations about the usability of this concept and some restrictions will be stated. This work is part of the research project TORERO, which is funded by the European Commission under the IST program. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Aspect oriented programming

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